BMET 25A12 - Introduction to Econometrics with R

This course aims to teach you the basics of data analysis needed in a Social Sciences oriented University like SciencesPo. We purposefully start at a level that assumes no prior knowledge about statistics whatsoever. Our objective is to have you understand and be able to interpret linear regression analysis. We will not rely on math and statistics, but practical learning (with R) to teach the main concepts. We also add the principal elements of causal inference, such that you will start being able to distinguish between simple statistical correlation and actual causation—namely, the main objective of the course.

• Understanding and interpreting linear regression models (coefficients interpretation, statistical inference, assumptions).
• Knowledge about various techniques used for causal identification: RCTs, Regression Discontinuity Design, Difference-In-Difference.
• Practical skills: conducting an empirical analysis with real data using R (and R Markdown): 1/ importing, tidying and visualizing data and 2/ running appropriate regressions and discussing the results.

After class Quiz (x5) 40%

2 take home exams

1 midterm (20%) o 1 final exam 40%